Improved GA-SVM Algorithm and Its Application of NIR Spectroscopy in Orange Growing Location Identification

Abstract

In order to establish a more accurate and efficient orange growing location identification model, we proposed Genetic Algorithm Support Vector Machine (GA-SVM) that based on Support Vector Machine (SVM). This algorithm combines genetic optimization options to improve the SVM algorithm, and the experimental results indicate that GA-SVM can significantly improve the prediction rate of SVM.